Exploring & Visualising Data: Descriptive Statistics & Plots- Statistical Analysis Assignment

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Internal Code: MAS7294

Statistical Analysis Assignment:

Task: The spreadsheets provide information for 338 houses. Variables in the dataset include:
  • The housing ID
  • Region by postcode
  • Distance from city in kilometres
  • Number of rooms
  • Type: Detached (1) Semi-detached (0)
  • Age in Years
  • Price in Euros
Your task is to “get a feel” for what is going on in this particular housing market. In particular, we want to use simple descriptive statistical techniques as well as plots and graphs to get a first understanding of which variables are likely to influence house prices. You will, therefore, replicate some of the basic techniques that every marketer needs to know:
  1. Create one or more pivot table that shows (a) the average house price by type of house; (b) the average price of house by number of rooms; (c) the average house price by postcode. What do you find?
  2. Visualise the pivot table using appropriate plots

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Applicable Time Zone is AEST [Sydney, NSW] (GMT+11)
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